Artificial intelligence in intelligent vehicles: recent advances and future directions-Reference-Cited by-同舟云学术

Artificial intelligence in intelligent vehicles: recent advances and future directions

Published:2023-09-30 Issue:8 Volume:46 Page:905-911
ISSN:0253-3839
Container-title:Journal of the Chinese Institute of Engineers
language:en
Short-container-title:Journal of the Chinese Institute of Engineers

Author:

Zhang Tao¹²³^ORCID,Zhao Tianyu⁴,Qin Yi¹,Liu Sucheng²

Affiliation:

1. Guangxi Key Laboratory of Trusted Software & Guangxi Key Laboratory of Cryptography and Information Security, Guilin University of Electronic Technology, Guilin, China

2. Anhui Provincial Key Laboratory of Power Electronics and Motion Control, Anhui University of Technology, Ma’anshan, China

3. Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis, Guangxi Minzu University, Nanning, China

4. School of information and communication technology, Griffith University, Brisbane, Australia

Funder

Anhui Provincial Key Laboratory of Power Electronics and Motion Control, Guangxi Key Laboratory of Trusted Software

Key Laboratory of Oceanographic Big Data Mining & Application of Zhejiang Province

and Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis

Publisher

Informa UK Limited

Subject

General Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/02533839.2023.2262759

Reference51 articles.

1. Video Based Reconstruction of 3D People Models

2. YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

3. Castro, P. S., S. Moitra, C. Gelada, S. Kumar, and M. G. Bellemare. 2018. “Dopamine: A Research Framework for Deep Reinforcement Learning.” ICLR 2019 Conference Blind Submission, May 6–9, 2019. https://arxiv.org/abs/1812.06110.

4. Review of Autonomous Intelligent Vehicles for Urban Driving and Parking

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